Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model

Sabeur Aridhi; Haïtham Sghaier; Manel Zoghlami; Mondher Maddouri; Engelbert Mephu Nguifo

doi:10.1089/cmb.2015.0134

Journal articles

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model

Sabeur Aridhi ^{1, 2} Haïtham Sghaier ³ Manel Zoghlami ⁴ Mondher Maddouri ⁵ Engelbert Mephu Nguifo ⁴

1 CAPSID - Computational Algorithms for Protein Structures and Interactions

Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics

2 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

3 National Institute for Nuclear Science and Technology

4 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

5 Taibah University

Document type :

Journal articles

Domain :

Computer Science [cs] / Databases [cs.DB]

Computer Science [cs] / Bioinformatics [q-bio.QM]

Computer Science [cs] / Artificial Intelligence [cs.AI]

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

Complete list of metadata

https://hal.inria.fr/hal-01807946
Contributor : Sabeur Aridhi <>
Submitted on : Tuesday, June 5, 2018 - 12:54:00 PM
Last modification on : Wednesday, February 24, 2021 - 4:24:03 PM

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model

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Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model

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